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This study explored whether the critical incident management systems (CIMS) model can predict the EMS performance in the COVID-19 context. Past research has established the significance of early detection and response (ER) in the context of Ebola virus disease (EVD), prompting a question of whether the model can also be helpful in the COVID-19 context. Consequently, the authors assessed whether ER influences the impact of communication capacity (CC), reliable information channel (RC) and environment (EN) on COVID-19 EMS performance. Assessing these relationships will advance emerging infectious disease (EID) preparedness.

The authors employed standardized measurement instruments of the CIMS model (CC, ER, RC and EN) to predict the performance of COVID-19 EMS using structural equation modeling (SEM) in a study of 313 participants from frontline responders.

The results show that the relationship of ER and EN with COVID-19 EMS performance is positive, while that of EN on CC is negative. The relationship between EN and COVID-19 EMS performance was insignificant. Contrary to the hypothesis, CC was negatively significant to COVID-19 EMS performance due to poor communication capacities.

The authors acknowledge some limitations due to challenges faced in this study. First, Data collection was a significant limitation as these questionnaires were built and distributed in June 2020, but the response time was prolonged due to the recurring nature of the pandemic. The authors had wanted to implore the inputs of all stakeholders, and efforts were made to reach out to various Ministry of Health, the local CDC and related agencies in the region via repeated emails explaining the purpose of the study to no avail. The study finally used the frontline workers as the respondents. The authors used international students from various countries as the representatives to reach out to their countries' frontline workers. Second, since the study was only partially supported using the CIMS model, future studies may combine the CIMS model with other models or theories. Subsequent research reassesses this outcome in other contexts or regions. Consequently, further research can explore how CC can be improved with COVID-19 and another future EID in the region. This may improve the COVID-19 EMS performance, thereby expanding the lesson learned from the pandemic and sustaining public health EID response. Additionally, other authors may combine the CIMS model with other emergency management models or theories to establish a fully supported theoretical model in the context of COVID-19.

The findings have practical implications for incident managers, local CDCs, governments, international organizations and scholars. The outcome of the study might inform these stakeholders on future direction and contribution to EID preparedness. This study unfolds the impact of lessons learned in the region demonstrated by moderating early detection and responses with other constructs to achieve COVID-19 EMS performance. The findings reveal that countries that experienced the 2013–2016 Ebola outbreak, were not necessarily more prepared for an epidemic or pandemic, judging by the negative moderating impact of early detection and response. However, these experiences provide a foundation for the fight against COVID-19. There is a need for localized plans tailored to each country's situation, resources, culture and lifestyle. The localized plan will be to mitigate and prevent an unsustainable EID management system, post-epidemic fund withdrawals and governance. This plan might be more adaptable and sustainable for the local health system when international interventions are withdrawn after an epidemic. Public health EID plans must be adapted to each country's unique situation to ensure sustainability and constantly improve EID management of epidemics and pandemics in emergency response. The high to moderate importation risk in African countries shows Africa's largest window of vulnerability to be West Africa (Gilbert et al., 2020). Therefore, they should be in the spotlight for heightened assistance towards the preparedness and response for a future pandemic like COVID-19. The West African region has a low capacity to manage the health emergency to match the population capacities. The COVID-19 outbreak in West Africa undoubtedly inflicted many disruptions in most countries' economic, social and environmental circumstances. The region's unique challenges observed in this study with CC and reliable information channels as being negatively significant highlight the poor maintenance culture and weak institutions due to brain drain and inadequate training and monitoring. This outcome practically informs West African stakeholders and governments on aspects to indulge when trying to improve emergency preparedness as the outcomes from other regions might not be applicable.

This study explored the relevance of the CIMS model in the context of the COVID-19 pandemic, revealing different patterns of influence on COVID-19 EMS performance. In contrast to the extant literature on EVD, the authors found the moderating effects of ER in the COVID-19 context. Thus, the authors contribute to the COVID-19 EMS performance domain by developing a context-driven EMS model. The authors discuss the theoretical and practical implications.

The purpose of this study is to investigate the impact factors towards the use of mobile banking among the asnaf for efficient zakat payments by using the unified theory of acceptance and use of technology (UTAUT2) model with additional constructs such as religiosity, attitude and trust (initial trust model) in the Malaysian context.

The structural equation modelling is used to analyse the data collected from 470 asnaf in Selangor, Malaysia, using the survey methodology.

This study highlights factors that could influence the asnaf to adopt financial technology (fintech) in order for them to enjoy the benefit of efficient zakat distribution by the zakat institutions.

This study only investigates and contributes added value from the Malaysian context. While it may be similar to other countries that share similar demographic profiles, it might differ for countries that do not have any demographic similarities with Malaysia.

The result of this study highlights the significant factor that practitioners (zakat institutions) in Malaysia could improve fintech adoption and at the same time enhance the efficiency of zakat distribution for the asnaf.

This research is basically addressing Islamic social financing. Thus, this study has social implications to address the society's poverty eradication scheme pertaining to the efficiency of zakat institutions in Malaysia for the speedier zakat payments to the asnaf. However, other emerging issues also arise particularly in using the zakat funds by the zakat institutions. By right whatever expenditure that the institutions use from the zakat funds need to have the consent from the asnaf because of their religious and legal rights. Hence, this new gap found from the findings of this study could be further explored by other researchers in future studies especially focusing on the drive towards more efficient administration by the zakat institutions of Malaysia in particular and other zakat institutions spread over Muslim countries elsewhere.

This study found that the UTAUT2 model is rarely used and adopted in investigating technology acceptance and adoption especially when it is related to religious matters such as zakat. Indeed, the findings of this study could be acknowledged as something of original value and significance, therefore contributes to the body of knowledge in this field.

Even as governments worldwide take extraordinary measures and spend unprecedented amounts of their state budgets to combat COVID-19, tax compliance remains challenging. Therefore, this study employs previously identified predictors to investigate the factors that persuade individual taxpayers to comply with the law.

Individual taxpayers in Indonesia (N = 699) who had experienced COVID-19-related benefits were asked to assess the provided evaluation regarding the tax compliance intention and its determinants. The bootstrapping analysis was employed using smart partial least squares (SmartPLS) to test the hypotheses.

The results suggest that the perceived fiscal exchange, tax morality, tax fairness, tax complexity and the power of authority are significant determinants of tax compliance intention. This study also supports the indirect effects of numerous factors on tax compliance intention through the perceived fiscal exchange and tax morality. In practice, reminding taxpayers of how tax payments fund public services, improving taxpayer morale, increasing the perceived fairness of the tax system, streamlining the tax code and managing the effectiveness of tax administration could all lead to a greater intention to comply with the law.

In addition to highlighting the dynamics of tax compliance amid the unprecedented pandemic crisis, our findings also provide insight into the importance of perceived fiscal exchange and tax morality for achieving and sustaining planned behavior to comply with tax rules.

The present research aims to examine the effect of workplace spirituality (WPS) and employee well-being (EWB) on public service motivation (PSM) in the public institutions. Workplace spirituality and EWB are two concepts related to the optimal level of human performance, while the motivation of academic staff is a vital concern in higher education institutions (HEIs), particularly in the public sector. In this competitive age, it is a challenge to improve the motivation of academic staff due to limited resources in developing countries. This study examines the association between WPS and PSM through the lens of EWB in the context of HEIs.

This study opted for a quantitative research method by using a stratified sampling technique. A structured questionnaire was used to collect data from the academic staff of renowned public sector universities located in Lahore, Pakistan. Hypothesized relationships were tested using structural equation modeling through AMOS: 22.

The results supported the established conceptual model that WPS is positively associated with PSM through the mediating role of EWB.

The research approach chosen may lack generalizability of the results because the data were collected from a specific population. Moreover, self-report measures were used, which may have led to common method bias which is also another drawback of the study.

This study is a pioneer in conceptualizing and testing a model that links WPS, EWB and PSM in the context of HEIs. The implications regarding enhancing the culture of spirituality in the workplace, EWB and PSM are elaborated in the specific context of academic staff, attempting to fill a gap in the extant literature.

This study accomplishes a recognized need to study how PSM can be improved by facilitating EWB and WPS.

This paper aims to investigate the impact of halal awareness on the relationship between halal supply chain knowledge and purchase intention for halal meat products in the millennial generation.

The quantitative approach with the respondents of 177 millennial generations in Indonesia is selected to understand the relationships between variables. Structural equation model-partial least square is used to analyze the relationship between variables.

The findings of this study found that the purchase intention of halal products in the millennial generation is influenced by several factors such as halal supply chain knowledge, halal certification and logo and religious beliefs. However, the results of this study also show that concern for halal products failed to moderate the relationship between these three main variables on the purchase intention of halal products.

This study provides insights into the concern that strengthens the relationship between the main variables on the intention to purchase halal meat products for the millennial generation.

This study aims to examine the results of structural equation modelling in applying unified theory of acceptance and use of technology in adopting Islamic Fintech among millennials in Malaysia via measurement and structural models.

A total of 418 valid responses have been obtained from Malaysians who are using Islamic Fintech. Before the data is analysed into measurement and structural modelling preliminary analysis such as common method bias has been conducted.

All the requirements for model fit in this study have been achieved. Four exogenous constructs are performance expectancy, effort expectancy, social influence and facilitating condition. The mediating construct is behavioural intention, whereas the endogenous variable is user adoption. All exogenous constructs show significant p-values except for effort expectancy.

This study offers important implications, specifically for the digital economy that is currently making its way throughout every aspect of human life, namely, social, religious, financial transaction, entertainment and others. The impact of the digital economy can be traced through the emergence of Fintech. The adoption of Islamic Fintech is one of the least discussed areas academically, therefore, this study is considered necessary to explore the prediction of consumer behaviour in Islamic Fintech adoption as a part of the digital economy in Malaysia.

This study fills the perceived gap in the existing financial technology literature by assessing Islamic financial technology adoption via measurement and structural modelling.